The presented work is devoted to the development of an approach to the age inference for users on the online social network VK.com. This approach is based on an analysis of the communities that the user is a member of. The proposed method is based on the hypothesis that users join some of those communities that contain data about class, graduation from school, data about the group at the university, etc. and those that have users’ peers as members. The proposed approach allows for the age inference. The obtained results can benefit research on online social networks, as well as the task of discovering a user vulnerability through social networks.

Original languageEnglish
Pages (from-to)246-251
Number of pages6
JournalCEUR Workshop Proceedings
StatePublished - 2020
EventRussian Advances in Fuzzy Systems and Soft Computing: Selected Contributions to the 8th International Conference on "Fuzzy Systems, Soft Soft Computing and Intelligent Technologies",FSSCIT 2020 - Smolensk, Russian Federation
Duration: 29 Jun 20201 Jul 2020

Scopus subject areas

  • Computer Science(all)


  • Fuzzy algorithms
  • Information security
  • Social engineering attacks
  • Social networks
  • User age inference

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